Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...

The goal is to be able to quickly extract all the available information in the document to a python dictionay. The dictionay can then be stored in a database or a csv file (for a later Machine ...

Abstract: Semi-supervised object detection (SSOD) is a significant application of Semi-supervised learning to further improve object detectors but suffers more ...

pydecipher is a Python package to unpack/unfreeze and analyze frozen Python artifacts with the ultimate goal of producing the artifact's underlying, high-level, Python source code. pydecipher can be ...